PyTorch, Python utility functions, loaders, classes etc.
This md file is inspired from BAILOOL's repo.
| connected-papers |
|---|
| arxiv-sanity | arxivist | nlp-playground |
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| Deep Learning Monitor | Machine Learning Subreddit | Hacker News |
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| Numba | Ray | PyTorch Lightning | Torch-fidelity | Kornia | JAX | SOLT: Data augmentation in PyTorch |
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| Grant Sanderson | Professor Leonard | Prof Rob | Contemporary Calculus |
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Probability and Statistics
| Visualizing Intro to Prob&Stats | Count Bayesie | Random Services |
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Topology and Manifolds
| Introduction from Colah's Blog | BoundedRationality Blog on Manifolds | Allen Hatcher's Page | TOPOLOGY WITHOUT TEARS (Book) |
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| Distill | Gradient | Colah? |
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| inFERENCe | Off the Convex Path | explained.ai | Bounded Rationality |
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| Agustinus Kristladi's Tech Blog | Henry Labs |
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| Advanced ML | Dive into Deep Learning | Deep Learning Drizzle | Model Zoo |
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Courses
| Probabilistic Graphical Models | Deep Generative Models (NYU) | Deep Generative Models (Stanford) | CS109 Harvard |
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| Data Science Handbook | IIT-M DL | Google's Crash Course | CS228-Notes |
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| OTML | Learning From Data |
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Theory of Deep Learning
| Toward theoretical understanding of DL | Divergence Minimization | Knowledge Distillation | Triplet Loss | Optimal Transport | Kantorovich-Rubinstein Duality |
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Transfer Learning
| CS231 | Medium |
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Variational Inference
| Eric Jang | Edward | Lil'Log | Medium | Variational Lower Bound | Rui Shu |
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Semantic Segmentation
| Jordan | Mwiti | PyTorch |
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Machine Translation
| Sequence models | Speech and Language Processing | Attention and Memory |
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Reinforcement Learning
| Reproducing a Deep Reinforcement Learning Paper |
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Generative Models
| Notes on exploring StyleGAN v2 | GANs, Wasserstein GAN | GANILLA | BigGAN? |
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| MGAN | Interpolation with Generative Models | Style Transfer Losses | Theory of Spectral Normalisation |
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Super-resolution
| Image Superresolution |
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Few Shot Learning
| Literature | Literature 2: Advances | Siamese Neural Networks (PyTorch) | Metric Learning |
|---|---|---|---|
| Project: Realistic Neural Talking Head Models |
Machine Vision
| Probabilistic Robotics | SLAM Course | Project: 3D Face Reconstruction |
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Datasets
Hacks
| Shell | SSH | Numpy <-> PyTorch |
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